Kinetic Modeling Study of the Industrial Sulfur Recovery Process for Operating Condition Optimization
Sulfur recovery from acid gas (H2S and CO2), which is contained in fresh natural gas, can bring many economic and environmental benefits, and this topic has been studied for years. Finding an optimal operating condition for the factory is of much importance. In this paper, we built a reactor network...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Journal of Chemistry |
| Online Access: | http://dx.doi.org/10.1155/2020/4156216 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832560708762468352 |
|---|---|
| author | Shan Huang Zhaohui Teng Lisheng Zhang Qulan Zhou Na Li |
| author_facet | Shan Huang Zhaohui Teng Lisheng Zhang Qulan Zhou Na Li |
| author_sort | Shan Huang |
| collection | DOAJ |
| description | Sulfur recovery from acid gas (H2S and CO2), which is contained in fresh natural gas, can bring many economic and environmental benefits, and this topic has been studied for years. Finding an optimal operating condition for the factory is of much importance. In this paper, we built a reactor network analysis model with a detailed mechanism to describe and calculate the process in the sulfur recovery unit. This detailed mechanism included 94 species and 615 elementary reactions. Our model has a more accurate residence time than other existing models. This simulation model was verified with industrial data, and the calculation result was highly consistent with the industrial data and more accurate than other approaches. Then, we used this reactor network analysis model to study the effect of the excess air coefficient, the thermal reactor temperature, and the temperature of cooling water on the sulfur recovery efficiency of a real device in the Puguang gas field. The result showed the excess air coefficient and thermal reactor temperature had a clear impact on sulfur recovery efficiency. After analysis, we got the optimum condition parameters for this device. At last, these parameters were tested in the real sulfur recovery device, and the result was reasonable. Our research provides a way to improve the sulfur recovery process in the industry, and it can be helpful to reduce pollution emissions and improve economic performance. |
| format | Article |
| id | doaj-art-f6a3a9ce7a4742c088692cb561c3b916 |
| institution | Kabale University |
| issn | 2090-9063 2090-9071 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Chemistry |
| spelling | doaj-art-f6a3a9ce7a4742c088692cb561c3b9162025-02-03T01:26:57ZengWileyJournal of Chemistry2090-90632090-90712020-01-01202010.1155/2020/41562164156216Kinetic Modeling Study of the Industrial Sulfur Recovery Process for Operating Condition OptimizationShan Huang0Zhaohui Teng1Lisheng Zhang2Qulan Zhou3Na Li4State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaState Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaNatural Gas Purification Plant of Puguang Gasfield, Dazhou 636150, ChinaState Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaState Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaSulfur recovery from acid gas (H2S and CO2), which is contained in fresh natural gas, can bring many economic and environmental benefits, and this topic has been studied for years. Finding an optimal operating condition for the factory is of much importance. In this paper, we built a reactor network analysis model with a detailed mechanism to describe and calculate the process in the sulfur recovery unit. This detailed mechanism included 94 species and 615 elementary reactions. Our model has a more accurate residence time than other existing models. This simulation model was verified with industrial data, and the calculation result was highly consistent with the industrial data and more accurate than other approaches. Then, we used this reactor network analysis model to study the effect of the excess air coefficient, the thermal reactor temperature, and the temperature of cooling water on the sulfur recovery efficiency of a real device in the Puguang gas field. The result showed the excess air coefficient and thermal reactor temperature had a clear impact on sulfur recovery efficiency. After analysis, we got the optimum condition parameters for this device. At last, these parameters were tested in the real sulfur recovery device, and the result was reasonable. Our research provides a way to improve the sulfur recovery process in the industry, and it can be helpful to reduce pollution emissions and improve economic performance.http://dx.doi.org/10.1155/2020/4156216 |
| spellingShingle | Shan Huang Zhaohui Teng Lisheng Zhang Qulan Zhou Na Li Kinetic Modeling Study of the Industrial Sulfur Recovery Process for Operating Condition Optimization Journal of Chemistry |
| title | Kinetic Modeling Study of the Industrial Sulfur Recovery Process for Operating Condition Optimization |
| title_full | Kinetic Modeling Study of the Industrial Sulfur Recovery Process for Operating Condition Optimization |
| title_fullStr | Kinetic Modeling Study of the Industrial Sulfur Recovery Process for Operating Condition Optimization |
| title_full_unstemmed | Kinetic Modeling Study of the Industrial Sulfur Recovery Process for Operating Condition Optimization |
| title_short | Kinetic Modeling Study of the Industrial Sulfur Recovery Process for Operating Condition Optimization |
| title_sort | kinetic modeling study of the industrial sulfur recovery process for operating condition optimization |
| url | http://dx.doi.org/10.1155/2020/4156216 |
| work_keys_str_mv | AT shanhuang kineticmodelingstudyoftheindustrialsulfurrecoveryprocessforoperatingconditionoptimization AT zhaohuiteng kineticmodelingstudyoftheindustrialsulfurrecoveryprocessforoperatingconditionoptimization AT lishengzhang kineticmodelingstudyoftheindustrialsulfurrecoveryprocessforoperatingconditionoptimization AT qulanzhou kineticmodelingstudyoftheindustrialsulfurrecoveryprocessforoperatingconditionoptimization AT nali kineticmodelingstudyoftheindustrialsulfurrecoveryprocessforoperatingconditionoptimization |